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Record W4231586288 · doi:10.17770/etr2017vol3.2651

MINIMIZING THE DETENT FORCE IN PERMANENT MAGNET LINEAR SYNCHRONOUS MOTOR FOR DRIVING OF 2D LASER MARKING TABLE

2017· article· en· W4231586288 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment Technology Resources Proceedings of the International Scientific and Practical Conference · 2017
Typearticle
Languageen
FieldEngineering
TopicLaser and Thermal Forming Techniques
Canadian institutionsIndependent Electricity System Operator
Fundersnot available
KeywordsCorrectnessFinite element methodMagnetLinear motorPermeanceSynchronous motorReduction (mathematics)Magnetic fieldComputer scienceMechanical engineeringElectrical engineeringEngineeringMathematicsPhysicsStructural engineeringAlgorithmGeometry

Abstract

fetched live from OpenAlex

In this paper the research results for reducing the detent force in one innovative permanent magnet linear synchronous motor for 2D laser marking system was published. There two methods are used. The first of these methods features the usage of two additional end teeth with chamfers in the magnetic circuit of the movable part. In the second method, the teeth of the ferromagnetic core are with different lengths. As a result of the change of the air gap permeance in both cases substantial reduction of detent force is achieved, in multiples at times. The results obtained are based on modeling and analyzing the linear motor magnetic field by the Finite Element Method (FEM). Provided experimental research of the linear motor prototype proves the correctness of the simulations results.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.238
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it